{"id":"W4413035074","doi":"10.1002/ase.70108","title":"Students as partners: A novel approach to developing a gamified anatomical learning toolkit using design thinking principles","year":2025,"lang":"en","type":"article","venue":"Anatomical Sciences Education","topic":"Anatomy and Medical Technology","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"The Wilson Centre; University of Toronto","funders":"Division of Undergraduate Education; University of Toronto","keywords":"Usability; Computer science; Process (computing); Limiting; Iterative and incremental development; General partnership; Instructional design; Critical thinking; Mathematics education; Human–computer interaction; Psychology; Multimedia; Software engineering; Engineering","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008579209,0.0001821533,0.0002272655,0.0003952261,0.0003639954,0.0001585915,0.0007328466,0.0001981029,0.000009083674],"category_scores_gemma":[0.0005698844,0.0001706023,0.00004686018,0.001467178,0.000201858,0.0002123632,0.0001832544,0.0003585861,0.0000196957],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004030161,"about_ca_system_score_gemma":0.0007034215,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006431494,"about_ca_topic_score_gemma":0.000004303003,"domain_scores_codex":[0.9982807,0.00005693203,0.0003318994,0.0004441834,0.0004154358,0.0004708428],"domain_scores_gemma":[0.9994603,0.0001436955,0.00004462198,0.0001435851,0.00005574503,0.000152061],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003399009,0.0005512194,0.01211942,0.0001396054,0.0001380508,0.000002515611,0.002573877,0.07404317,0.006572939,0.8230522,0.0009549986,0.07981802],"study_design_scores_gemma":[0.0009510058,0.0001361577,0.007558377,0.000919606,0.0001087006,0.0000483511,0.008888522,0.8701989,0.01626872,0.02894688,0.06466194,0.001312861],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6826607,0.0002438055,0.3099129,0.0004283579,0.0003818577,0.0003216558,2.344086e-7,0.0003076399,0.005742801],"genre_scores_gemma":[0.9175901,0.00004869547,0.08146092,0.0006642179,0.00005613378,0.00005830993,0.000003374974,0.00001181685,0.0001063835],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7961557,"threshold_uncertainty_score":0.6956959,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06157163926227452,"score_gpt":0.3849842349172847,"score_spread":0.3234125956550102,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}